Adds GET /api/topology-runs/{id}/output — trimmed view of the
runs checkpoint (totals + per-turn output previews, capped at
12 turns × 6kB each). The full checkpoint blob can be hundreds
of KB so it was never viable to send through mission polling.
Phase card run rows now expose a "show output" toggle for any
terminal run (completed/failed/cancelled), rendering turns,
tokens, records count, and per-turn agent text. Running rows
still get the live activity stream from the prior slice.
Diagnostic value: on a mission that "completed" without visible
work, this immediately shows whether the agents produced real
output (workspace missing / instructions vague / etc.) or
whether nothing ran at all.
The log SSE endpoint was always resolving the container name from a
research topic id (research-<topic_id>-team). For paired coding loops
that own a team_id, the actual container the topology worker spawns is
team-<team_id>-container (spawn_team) — not the research topic's one.
That mismatch produced a stream of 404s from Docker:
Docker responded with status code 404: No such container:
research-<topic_id>-team
Mirror topology_worker::try_team_gateway_url's precedence:
1. run's loop has team_id → team-<team_id>-container
2. run has research_topic_id → research-<topic_id>-team
3. loop.source_research_topic_id (legacy paired flow) → same as 2
4. else → clear error, no more 404 spam
Co-Authored-By: Claude Opus 4.7 <[email protected]>
The Loops canvas' IterationsTimeline was a flat status-pill list —
no way to see WHAT an iteration was actually doing. Meanwhile the
Research canvas had full LiveRunLogs with Steps + Container tabs
against the same underlying topology_run SSE endpoints. This
factors LiveRunLogs so both canvases share it.
Frontend
- LiveRunLogs gains a directRunId?: string prop. In this mode it
skips the topic-scoped active-runs + pipeline-state polls and
pins activeRun to the given id. topicId stays optional (topic
mode unchanged from ResearchCanvas' perspective).
- LoopsCanvas IterationsTimeline: each row is now a click-to-
expand card. On expand, renders <LiveRunLogs directRunId={...}/>
right below the header — Steps + Container tabs, full SSE tail,
same 320px terminal.
- Auto-opens the newest running/queued iteration so a click on
'Run now' immediately exposes the live pane.
- New CollapsibleSection helper wraps the graph JSON block so it
starts closed. Reference material stays one click away without
cluttering the canvas.
Backend
- run_container_log_sse now resolves the tail target via
loop.source_research_topic_id when the run itself has no
research_topic_id. Paired coding loops (kind=exec with a
source_research_topic_id) reuse the paired topic's team
container, so we tail its docker logs. Pure loop runs still
error with a clearer message.
Steps summaries only fire AFTER each topology step completes — so a
stalled first turn was completely dark. Add a second tab that
streams the team runtime container's daemon log live via a new SSE
endpoint.
Backend
- GET /api/topology-runs/:id/container-log — workspace-scoped SSE
around bollard's docker.logs(follow=true, tail=200). Buffers on
newline so partial mux chunks don't truncate a log line.
- compact_container_log: parse a zeroclaw daemon line
('[actor] ... zc_action=X zc_outcome=Y ... msg') into
'[actor] action (outcome) · msg'. Framing-only continuations are
dropped; non-zc lines (bash echoes, backtraces) pass through as-is
so nothing interesting is lost. ANSI escapes stripped.
- Everything funnels through one async_stream! so early exits
(workspace check / docker connect / no bound topic) yield an
'error' event and return without breaking Sse::new's single stream
type.
Frontend
- LiveRunLogs gets a sub-tabs strip: Steps · Container.
- New useContainerLog(runId, active) hook — gated by tab so we don't
hold two open SSE streams when the operator isn't looking.
- Same terminal widget renders each container line with a level
color (info/done grey, line default, error red). Sub-tab pill
shows count + status live.
Extend the topology-runs list route with an optional loop_id filter that
returns iterations for a single loop, newest-iteration-first. Adds the
iteration and finished_at columns to the summary (skip-null on the JSON
so compares stay compact). Backed by list_by_loop in the repo, which uses
the existing topology_runs_loop_idx partial index.
LoopsCanvas fetches the runs in parallel with the loop detail and renders
an iteration timeline card (iteration #, status pill, start time, duration,
run id prefix) between the graph section and the actions row.
Survey + fixes so the pipeline passes at the Docker level (no k8s).
- Remove k8s: drop the `sandbox-k8s` job (kind/Calico/--features k8s-tests) and the
"Helm chart lints" gate step. release.yml was already k8s-clean.
- Rust job:
- `cargo fmt --all` — fix pre-existing formatting drift (fmt --check was failing).
- clippy -D warnings: fix 3 lib warnings (cm-brain sort_by_key→Reverse, cm-api
fleet.rs doc list indentation, node_rules map_or→is_none_or).
- Regenerate the .sqlx offline cache (was missing the cm-runtime run_loop test
query → offline compile failed). DB-backed tests use testcontainers at runtime.
- Set SQLX_OFFLINE=true on the rust + e2e jobs so query! macros compile against
the committed cache deterministically (no DB needed at compile time).
- Frontend job:
- Fix the 1 ESLint error (useAgentTelemetry: no setState-synchronously-in-effect;
tag the slice with agentId + derive null on mismatch).
- Fix 2 stale panel-params tests (`terminal` is a valid app id now; assert the
current APP_IDS + use a genuinely-unknown id for the reject case).
Verified locally: fmt clean, clippy --all-targets -D warnings clean (offline),
frontend lint 0 errors, tsc clean, 86/86 frontend tests pass, build OK.
Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>
#2 GLM judge (closes#114): registry NamedProvider gains a `format` field;
build_provider_registry builds an AnthropicProvider for format="anthropic".
GLM's coding/OpenAI endpoint is ToS-throttled for raw SDK, but its Anthropic
endpoint (api.z.ai/api/anthropic) accepts raw API calls (verified x-api-key
-> glm-4.7), so CLAWMATES_JUDGE_MODEL=glm:glm-4.7 routes the door governor /
topology judge through GLM with no runtime-routing. (Kimi-as-judge still needs
a Platform key — coding key is agent-only.)
#3 run-control: POST /api/topology-runs/{id}/cancel (workspace-scoped,
queued/running only); the worker honors it at the step boundary (checks
current_status in the checkpoint callback) and won't clobber a cancel with
`failed`. Frontend Run tab gains a Cancel button and clickable recent runs
that deep-link into a live/replayed stream (SSE replays from checkpoint).
cm-* tests (incl. new cancel test) + clippy + frontend lint/typecheck green.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Backend: GET /api/topology-runs/{id}/events streams Server-Sent Events by
tailing the durable per-step checkpoint the worker already writes — a `step`
event per newly-completed step (replayed on connect so reload/reconnect
re-attaches), then a terminal `done` event with the final output/error. Each
step carries its index as the SSE id, so the browser's Last-Event-ID resumes
without duplicates on reconnect. No new table, no worker change — reuses the
checkpoint; avoids run_events' agent_runs FK.
Frontend: the Run tab now opens an EventSource (through the same-origin proxy,
which adds the bearer) instead of polling — appending steps as they stream and
finalizing on `done`. One streaming connection, lower latency, auto-resume.
cm-api builds + clippy clean; frontend lint + typecheck + next build clean.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
POST /api/topologies/run now ENQUEUES a durable job and returns 202
{run_id, status:queued} instead of executing inside the HTTP request — the
prerequisite for long-horizon runs (no client/proxy/LB timeout, survives
restarts).
topology_worker: a spawned loop that requeues stale running jobs, claims the
next queued one (CAS via FOR UPDATE SKIP LOCKED), drives it through
execute_resumable, and checkpoints RunProgress after every step; on crash the
stale sweep requeues it and the next claim resumes from the last checkpoint.
Wired into server startup beside the scheduler + resume sweeper.
GET /api/topology-runs/{id} now reports lifecycle status/kind/error/checkpoint
+ the result blob (kept the `comparison` field name for back-compat with the
compare UI; null until completed). list_runs includes status + kind.
Tests: durable lifecycle (enqueue→claim→checkpoint→complete) + stale-requeue
resume, both green; p0 endpoints (compare path) unchanged. 13 + 2 tests pass,
clippy clean.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Adds a multi-provider registry so judges and topology execution can run on
providers beyond the default. cm-config gains [[llm.providers]] (name, base_url,
api_key_env) — all OpenAI-compatible (GLM, Kimi/Moonshot). The server builds an
Arc<dyn LlmProvider> per entry (OpenAiCompatProvider) keyed by name; a missing
key is skipped with a warning, not a boot failure. cm-runtime RuntimeConfig
carries a ProviderRegistry; Runtime::resolve_provider("<name>:<model>") selects a
registry provider (else the default). The door governor (Runtime::judge) and the
topology compare endpoint both resolve through it, so CLAWMATES_JUDGE_MODEL and
CLAWMATES_TOPOLOGY_EXEC_MODEL accept "glm:glm-4.6" / "kimi:kimi-k2".
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Both LLM-as-judge sites — the door governor (Runtime::judge) and the topology
comparison scorer (JudgeScorer) — now use the judge model (default
claude-opus-4-8, override CLAWMATES_JUDGE_MODEL). Execution/reasoning turns keep
using the configured default model (claude-sonnet-4-6).
Co-Authored-By: Claude Opus 4.8 <[email protected]>
cm-orchestrator owns the topology graph; each turn now drives a real ZeroClaw
role-agent in a container via the proven gateway drive recipe, instead of a
tool-free cm-llm call.
- crates/cm-api/src/topology_exec.rs: ZeroClawDriveExecutor impl TurnExecutor —
pair (POST /pair + X-Pairing-Code, token cached) -> ws /ws/chat?agent=<alias>
-> send {type:message,content} -> drain chunk/done/approval_request/error.
approval_request is recorded as a BLOCKED GatedAction, never auto-approved (§15).
Role->alias via ZEROCLAW_AGENT_MAP, fallback ZEROCLAW_DEFAULT_AGENT (scout).
- POST /api/topologies/run {task,graph} -> execute() -> RunRecord, persisted
best-effort to the existing topology_runs table (no migration). compare stays
tool-free. from_env() is read in-handler so cm-api still boots unset.
- deploy/clawmates-runtime: example config now declares a tool-free multi-agent
role-cast; README documents the ZEROCLAW_* knobs + run endpoint.
tokio-tungstenite 0.26 (already in lock) + dev axum `ws` for the hermetic test.
3 lib tests green, clippy clean, SQLX_OFFLINE build clean.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Save each comparison and let users reload past ones.
- migration 0008: topology_runs (workspace-scoped; full comparison as JSONB).
- cm-db repo::topology_runs (insert / list_recent / get) + regenerated .sqlx.
- cm-api: compare persists best-effort (never loses the LLM result on a DB
hiccup); GET /api/topology-runs (recent) + GET /api/topology-runs/{id}.
Integration test asserts persist → list → get.
- frontend: "Recent comparisons" list on the Compare tab; click to reload a
saved run. e2e p8 green (39 suite); offline build + clippy clean.
Server self-migrates at boot (cm_db::MIGRATOR), so 0008 applies on deploy.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Run a task across topologies via the API and return a leaderboard + quality/cost
Pareto front. The handler builds a ProviderExecutor + JudgeScorer over the
runtime's configured provider/model, then calls cm_orchestrator::compare.
- cm-runtime: expose provider()/model()/max_tokens() accessors on Runtime.
- cm-api: depend on cm-orchestrator (provider feature); add the compare route.
- Integration test runs a 2-topology comparison through the real server
(scripted provider) → 200 with results + leaderboard. 4 topology tests green;
offline build + clippy clean.
The topology endpoints (catalog/classify/build/compare) ship to gw-04 with the
upcoming ReactFlow UI in one server+frontend redeploy.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Stateless, auth-gated routes backing the topology builder UI:
- GET /api/topologies — catalog of the 12 kinds + descriptions + role mix
- POST /api/topologies/classify — infer a kind + metrics from a posted graph
- POST /api/topologies/build — build a canonical graph from {kind, roles}
Add Serialize to cm-topology Classification/GraphMetrics; add ApiError::BadRequest
(400) for invalid build input; add cm-topology dep. 3 integration tests
(catalog/build/auth) green against Postgres; offline build + clippy clean.
No DB or provider yet — running/comparing topologies is a later provider-backed
endpoint. Server redeploy will batch with the ReactFlow UI that consumes these.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Omar Sobh